Data analyst állások IV. kerületben (programozó, fejlesztő)

• Supporting the Vodafone Purchasing colleagues in data cleaning and regular reporting activities
• Helping to create and manage reports, and support with automation of different tasks
• Supporting senior team members with regular and ad-hoc requests
• Taking part in projects conducted by the team

• Design, develop, and maintain interactive Power BI dashboards and reports to support business decision-making.
• Develop and optimize complex DAX measures, data models, and tabular solutions for scalable analytics.

• Üzleti igények felmérése, rendszerezése és a követelmények elemzése, adat- és folyamatmodellezés;
• Informatikai megoldások funkcionális és vizuális tervezése az üzleti igények mentén;

Design, build, and maintain large-scale distributed data systems Develop data processing pipelines using technologies such as Spark and streaming solutions Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs Contribute to data-intensive projects...

Design and Implementation of Modern Data Architectures and Lakehouse Solutions Technical Leadership Throughout the Project Lifecycle Collaboration with Business Stakeholders Creation of Effort Estimations and Technical Expertise During the Pre-Sales Phase Mentoring of 3-6 Person Project Teams...

Backend services development, optimisation, and maintenance using Java (Spring Boot) Design decisions contribution for new and existing projects Application deployment and scaling in AWS (ECS, Lambda, S3, DynamoDB, etc.) System observability enhancement with real-time monitoring and logging using...

Design, develop, and implement complex and scalable data solutions on the AWS cloud platform Design, build, and optimize data pipelines to ensure efficiency and reliability Write clean, efficient, and maintainable SQL and Python code Develop and maintain shell scripts to support automation Utilize...

Leading a small, senior engineering team building production LLM systems Shaping the technical vision for AI at Wise including architecture, evaluation, and integration of latest research into production Partnering closely with embedded Data Science, PM, Analyst and Prompt Engineering functions...

Mastering Apache Spark and Databricks on AWS/Azure Delivering hands-on project work during bi-weekly sprint model Completing complex capstone projects Shadowing senior consultants on real-life engagements Delivering simulated projects Advising stakeholders and navigating requirements Contributing...

Ownership of data engineering features, architecture, and code quality Design, implementation, and maintenance of Databricks-based data pipelines and workflows Building and optimization of ETL/ELT processes using Apache Spark on Databricks Design and management of data lakes and Lakehouse...

Delivery of complex data engineering projects across industries Leading small delivery teams Management of customer relationships alone or with a Project Manager Mentoring more junior engineers Evaluating the quality of junior engineers' work Contributing to hiring best-in-class data engineers...

Exploration, profiling, cleansing, and preprocessing of data for analytics and reporting Design and management of workflows for storing and retrieving vectorised documents for AI use cases Application of embedding models to build AI-driven solutions Leveraging modern AI and machine-learning...

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

Co-design and implementation of QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques Application of AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets Building reusable QA tools in...

Architecture design of large-scale market data initiatives Software engineering of secure, high performance, scalable and maintainable applications Integration and deployment of market data initiatives Coordination and collaboration with internal OneMSCI stakeholders Conversion of business...

Maintaining and evolving existing data platform Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect Development and maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams Applying transformations to...

End-to-end implementation of data pipelines and GenAI applications on Databricks Design and maintenance of CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability Tuning of complex Spark jobs and LLM inference patterns for performance optimization Long-term...

Collaboration with engineers, project managers, technical leads, business owners and analysts throughout the software development lifecycle Design and implementation of new features in the core product’s data platform and suspicious activity identifying mechanism Improvement of resiliency,...